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Ontology Learning for the Semantic Web (Springer International Series in Engineering and Computer Science)
 
 
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Ontology Learning for the Semantic Web (Springer International Series in Engineering and Computer Science) (Hardcover)
by Rudi Studer (Foreword), Alexander Maedche (Author) "The Web in its' current form is an impressive success with a growing number of users and information sources ..." (more)
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Synopsis
"Ontology Learning for the Semantic Web" explores techniques for applying knowledge discovery techniques to different web data sources (such as HTML documents, dictionaries, etc.), in order to support the task of engineering and maintaining ontologies. The approach of ontology learning proposed in "Ontology Learning for the Semantic Web" includes a number of complementary disciplines that feed in different types of unstructured and semi-structured data. This data is necessary in order to support a semi-automatic ontology engineering process. "Ontology Learning for the Semantic Web" is designed for researchers and developers of semantic web applications. It also serves as an excellent supplemental reference to advanced level courses in ontologies and the semantic web.
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The Web in its' current form is an impressive success with a growing number of users and information sources. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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